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Validation of AI-Based Cephalometric Analysis in Orthodontics
Sponsor: Al-Azhar University
Summary
This study is designed to evaluate whether artificial intelligence can analyze cephalometric images in orthodontics as a reliable tool for diagnosis and treatment planning. The study will include orthodontic patients who need cephalometric evaluation. Participants will have their X-ray images analyzed using both the AI system and traditional manual methods. The study will compare the results to see how closely the AI measurements match the standard measurements. This information may help patients, families, and health care providers understand how AI can support orthodontic diagnosis and treatment planning.
Official title: Validation of Artificial Intelligence-Driven Cephalometric Analysis as a Reliable Tool for Orthodontic Diagnosis and Treatment Planning
Key Details
Gender
All
Age Range
12 Years - 30 Years
Study Type
OBSERVATIONAL
Enrollment
55
Start Date
2026-05
Completion Date
2028-06
Last Updated
2026-01-07
Healthy Volunteers
Yes
Conditions
Interventions
Artificial Intelligence-Driven Cephalometric Analysis
Cephalometric analysis performed using AI software, compared with manual tracings for validation of accuracy in orthodontic diagnosis and treatment planning.
Locations (1)
Faculty of Dentistry, Al-Azhar University
Asyut, Asyut Governorate, Egypt